Year |
Citation |
Score |
2021 |
Dunn J, Kidzinski L, Runge R, Witt D, Hicks JL, Schüssler-Fiorenza Rose SM, Li X, Bahmani A, Delp SL, Hastie T, Snyder MP. Wearable sensors enable personalized predictions of clinical laboratory measurements. Nature Medicine. PMID 34031607 DOI: 10.1038/s41591-021-01339-0 |
0.408 |
|
2019 |
Witt D, Kellogg R, Snyder M, Dunn J. Windows Into Human Health Through Wearables Data Analytics. Current Opinion in Biomedical Engineering. 9: 28-46. PMID 31832566 DOI: 10.1016/j.cobme.2019.01.001 |
0.422 |
|
2019 |
Zhou W, Sailani MR, Contrepois K, Zhou Y, Ahadi S, Leopold SR, Zhang MJ, Rao V, Avina M, Mishra T, Johnson J, Lee-McMullen B, Chen S, Metwally AA, Tran TDB, ... ... Dunn J, et al. Longitudinal multi-omics of host-microbe dynamics in prediabetes. Nature. 569: 663-671. PMID 31142858 DOI: 10.1038/S41586-019-1236-X |
0.532 |
|
2019 |
Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, Zhou W, Mishra T, Mataraso S, Dagan-Rosenfeld O, Ganz AB, Dunn J, Hornburg D, Rego S, Perelman D, Ahadi S, Sailani MR, Zhou Y, et al. A longitudinal big data approach for precision health. Nature Medicine. 25: 792-804. PMID 31068711 DOI: 10.1038/S41591-019-0414-6 |
0.605 |
|
2018 |
Rego S, Dagan-Rosenfeld O, Zhou W, Sailani MR, Limcaoco P, Colbert E, Avina M, Wheeler J, Craig C, Salins D, Röst HL, Dunn J, McLaughlin T, Steinmetz LM, Bernstein JA, et al. High-frequency actionable pathogenic exome variants in an average-risk cohort. Cold Spring Harbor Molecular Case Studies. 4. PMID 30487145 DOI: 10.1101/mcs.a003178 |
0.511 |
|
2018 |
Dunn J, Runge R, Snyder M. Wearables and the medical revolution. Personalized Medicine. 15: 429-448. PMID 30259801 DOI: 10.2217/Pme-2018-0044 |
0.437 |
|
2018 |
Kellogg RA, Dunn J, Snyder MP. Personal Omics for Precision Health. Circulation Research. 122: 1169-1171. PMID 29700064 DOI: 10.1161/CIRCRESAHA.117.310909 |
0.435 |
|
2017 |
Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, Perelman D, Colbert E, Runge R, Rego S, Sonecha R, Datta S, McLaughlin T, Snyder MP. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. Plos Biology. 15: e2001402. PMID 28081144 DOI: 10.1371/Journal.Pbio.2001402 |
0.599 |
|
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